Crunch
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Remy Beaumier
	Entraîneur	Bruce Cassidy
	Division	Atlantic
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Amalie Arena
	Capacité	22,000
	Assistance
	Billets de saison	0
Informations de la formation
	Équipe Pro	25
	Équipe Mineure	7
	Limite contact	32 / 40
	Espoirs	39
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	88,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	25,428,063$
	Compte bancaire projeté	25,428,063$
Historique d'équipe
	Saison actuelle	0-0
	Historique	0-0-0


	Coupe Stanley	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Yakov Trenin		X	X		100.00	66	36	57	57	42	69	99	55	43	53	51	56	39	54	59	0	85	0		1	28	2	3,500,000$
2	Mathew Barzal		X	X		100.00	36	32	61	61	38	86	58	61	43	62	54	54	39	60	66	0	85	0		1	28	2	9,150,000$
3	Aleksander Barkov	X	X	X		100.00	44	31	62	63	48	90	91	63	69	64	55	60	66	69	85	0	85	0	N	1	29	5	10,000,000$
4	Jeff Skinner		X	X		100.00	34	32	60	57	37	71	96	57	43	56	54	50	40	81	63	0	85	0		1	33	1	5,900,000$
5	Valeri Nichushkin		X	X		100.00	44	31	62	62	49	86	62	60	43	58	59	56	52	61	73	0	85	0	N	1	30	4	6,125,000$
6	Gage Goncalves (R)		X	X		100.00	42	31	62	56	36	68	80	55	43	56	52	50	44	43	47	0	85	0		0	24	2	750,000$
7	Zemgus Girgensons	X	X	X		100.00	54	39	58	55	41	65	99	53	44	52	50	53	36	69	63	0	85	0		1	31	3	1,100,000$
8	Connor Dewar	X	X	X		100.00	57	36	61	56	34	63	73	52	51	54	51	54	36	49	55	0	85	0		1	26	4	1,180,000$
9	Filip Chytil	X	X	X		100.00	31	32	61	57	45	71	60	56	62	57	54	48	39	54	52	0	85	0		1	25	1	4,437,500$
10	Mark Stone		X	X		100.00	34	31	62	62	47	88	84	62	43	63	55	57	42	68	82	0	85	0		1	33	5	9,500,000$
11	Matt Rempe		X	X		100.00	62	54	47	53	65	57	57	53	43	54	50	51	34	43	48	0	85	0		1	23	3	900,000$
12	Tomas Nosek	X	X	X		100.00	44	31	64	55	43	59	71	53	64	54	49	54	33	60	59	0	85	0		1	32	2	1,000,000$
13	Wyatt Aamodt				X	100.00	36	30	63	53	35	55	30	44	30	50	44	43	38	43	42	0	85	0		1	27	4	950,000$
14	Madison Bowey				X	100.00	29	30	50	50	30	55	30	43	30	50	35	42	30	40	40	0	85	0		1	30	2	900,000$
15	Moritz Seider				X	100.00	63	31	61	64	40	94	99	57	30	71	48	64	39	53	68	0	85	0		1	24	2	8,550,000$
16	Juuso Valimaki				X	100.00	38	30	64	60	37	75	74	52	30	63	44	50	37	44	47	0	85	0		1	26	4	2,000,000$
17	Ryan Graves				X	100.00	44	31	62	59	51	72	87	51	30	61	42	53	36	59	56	0	85	0		1	30	2	4,000,000$
18	Nate Schmidt				X	100.00	42	31	63	61	34	74	99	53	30	65	45	49	38	70	68	0	85	0		1	33	2	3,600,000$
Rayé
1	Gabriel Landeskog		X	X		100.00	28	30	47	47	30	50	10	46	43	47	47	40	30	40	40	0	85	0		1	32	2	8,800,000$
2	Cole Guttman		X	X		100.00	28	31	50	49	30	50	12	46	43	50	49	40	34	43	42	0	85	0		1	26	2	1,200,000$
3	Fredrik Olofsson		X	X		100.00	32	30	59	50	39	50	22	48	43	51	49	45	34	46	45	0	85	0		1	29	3	775,000$
4	Mitchell Chaffee		X	X		100.00	54	33	61	56	42	66	88	54	43	53	53	49	39	45	51	0	85	0		1	27	3	975,000$
5	Caleb Jones				X	100.00	38	30	58	55	34	57	36	47	30	60	38	43	30	52	45	0	85	0		1	28	2	775,000$
Équipe Mineure
1	Callahan Burke		X	X		100.00	28	30	50	49	32	50	13	46	43	47	49	42	32	43	41	0	85	0		1	28	2	850,000$
2	Joel Teasdale		X	X		100.00	28	30	47	47	30	50	10	46	43	47	47	40	30	40	40	0	85	0		1	26	2	900,000$
3	Rudolfs Balcers		X	X		100.00	28	30	47	47	30	50	10	46	43	47	47	40	30	40	40	0	85	0		1	28	2	750,000$
4	Oskar Steen		X	X		100.00	42	30	60	50	35	50	14	48	43	47	48	44	32	44	44	0	85	0		1	27	3	800,000$
5	Dysin Mayo				X	100.00	29	30	50	50	30	55	30	43	30	50	35	42	30	40	40	0	85	0		1	28	2	950,000$

	MOYENNE D’ÉQUIPE					100.00	43	33	59	56	40	68	66	53	42	57	49	50	38	54	56	0	85	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Philipp Grubauer	100.00	70	91	77	69	76	69	69	76	72	71	77	76	78	0	85	0	1	33	2	3,300,000$
2	Iaroslav Askarov (R)	100.00	73	86	67	69	74	71	72	72	72	74	75	55	55	0	85	0	0	23	3	750,000$
Rayé
Équipe Mineure
1	Clay Stevenson	100.00	71	81	55	72	69	70	71	67	68	72	67	55	53	0	85	0	1	26	4	950,000$
2	Cole Brady	100.00	67	80	50	67	69	67	67	67	67	67	67	40	40	0	85	0	1	24	1	725,000$

	MOYENNE D’ÉQUIPE	100.00	72	89	72	69	75	70	71	74	72	73	76	66	67	0	85	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	99	99	99	99	99	99	99	CAN	60	3	800,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
25	28.40	201 Lbs	6 ft2	2.68	3,604,700$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
90,117,500$	72,130,000$	51,074,998$	47,074,997$	19,999,999$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Valeri Nichushkin	Aleksander Barkov	Mark Stone	35	0	3	2
2	Mathew Barzal	Filip Chytil	Jeff Skinner	30	0	1	4
3	Gage Goncalves	Connor Dewar	Yakov Trenin	20	1	3	1
4	Tomas Nosek	Zemgus Girgensons	Matt Rempe	15	1	4	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Moritz Seider	45	0	3	2
2	Juuso Valimaki	Madison Bowey	30	0	3	2
3	Nate Schmidt	Wyatt Aamodt	20	0	3	2
4	Ryan Graves	Moritz Seider	5	0	4	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mark Stone	Aleksander Barkov	Mathew Barzal	70	0	0	5
2	Yakov Trenin	Connor Dewar	Jeff Skinner	30	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Moritz Seider	Madison Bowey	60	0	1	4
2	Nate Schmidt	Juuso Valimaki	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Aleksander Barkov	Valeri Nichushkin	63	1	4	0
2	Filip Chytil	Mark Stone	37	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Graves	Moritz Seider	60	1	4	0
2	Madison Bowey	Juuso Valimaki	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Aleksander Barkov	50	1	4	0	Ryan Graves	Moritz Seider	50	1	4	0
2	Filip Chytil	50	1	4	0	Madison Bowey	Juuso Valimaki	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Aleksander Barkov	Mark Stone	60	0	2	3
2	Connor Dewar	Yakov Trenin	40	1	3	1

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Madison Bowey	Moritz Seider	65	0	2	3
2	Juuso Valimaki	Ryan Graves	35	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mark Stone	Aleksander Barkov	Valeri Nichushkin	Ryan Graves	Moritz Seider

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Valeri Nichushkin	Aleksander Barkov	Mark Stone	Juuso Valimaki	Moritz Seider

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Aleksander Barkov, Yakov Trenin, Connor Dewar	Mathew Barzal, Jeff Skinner	Mathew Barzal

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Moritz Seider, Juuso Valimaki, Nate Schmidt	Moritz Seider	Moritz Seider, Juuso Valimaki

Tirs de pénalité
Mark Stone, Aleksander Barkov, Mathew Barzal, Jeff Skinner, Connor Dewar

Gardien
#1 : Philipp Grubauer, #2 : Iaroslav Askarov

Lignes d’attaque personnalisées en prolongation
Mathew Barzal, Matt Rempe, Mark Stone, Gage Goncalves, Aleksander Barkov, Connor Dewar, Connor Dewar, Jeff Skinner, Tomas Nosek, Valeri Nichushkin, Yakov Trenin

Lignes de défense personnalisées en prolongation
Moritz Seider, Madison Bowey, Nate Schmidt, Ryan Graves, Juuso Valimaki

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
0	0	0%	0	0	0%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
0	0	0%	0	0	0%	0	0	0%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
0	0	0	0	0	0

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	7200	6100	2500	5000	1200
Prix des billets	85	59	42	28	121
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	22000	90

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	90,117,500$	12,700,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	25	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	12	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	25,428,063$	25,428,063$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	88,000,000$	88,000,000$	-65,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Gabriel Landeskog	AGE:32	PO:0	OV:0
Callahan Burke	AGE:28	PO:0	OV:0
Cole Guttman	AGE:26	PO:0	OV:0
Yakov Trenin	AGE:28	PO:0	OV:0
Mathew Barzal	AGE:28	PO:0	OV:0
Aleksander Barkov	AGE:29	PO:0	OV:0
Jeff Skinner	AGE:33	PO:0	OV:0
Valeri Nichushkin	AGE:30	PO:0	OV:0
Joel Teasdale	AGE:26	PO:0	OV:0
Gage Goncalves (R)	AGE:24	PO:0	OV:0
Zemgus Girgensons	AGE:31	PO:0	OV:0
Connor Dewar	AGE:26	PO:0	OV:0
Fredrik Olofsson	AGE:29	PO:0	OV:0
Rudolfs Balcers	AGE:28	PO:0	OV:0
Filip Chytil	AGE:25	PO:0	OV:0
Mark Stone	AGE:33	PO:0	OV:0
Mitchell Chaffee	AGE:27	PO:0	OV:0
Oskar Steen	AGE:27	PO:0	OV:0
Matt Rempe	AGE:23	PO:0	OV:0
Tomas Nosek	AGE:32	PO:0	OV:0

Aleksander Barkov	AGE:29	PO:0	OV:0
Zemgus Girgensons	AGE:31	PO:0	OV:0
Connor Dewar	AGE:26	PO:0	OV:0
Filip Chytil	AGE:25	PO:0	OV:0
Tomas Nosek	AGE:32	PO:0	OV:0

Gabriel Landeskog	AGE:32	PO:0	OV:0
Callahan Burke	AGE:28	PO:0	OV:0
Cole Guttman	AGE:26	PO:0	OV:0
Yakov Trenin	AGE:28	PO:0	OV:0
Mathew Barzal	AGE:28	PO:0	OV:0
Aleksander Barkov	AGE:29	PO:0	OV:0
Jeff Skinner	AGE:33	PO:0	OV:0
Valeri Nichushkin	AGE:30	PO:0	OV:0
Joel Teasdale	AGE:26	PO:0	OV:0
Gage Goncalves (R)	AGE:24	PO:0	OV:0
Zemgus Girgensons	AGE:31	PO:0	OV:0
Connor Dewar	AGE:26	PO:0	OV:0
Fredrik Olofsson	AGE:29	PO:0	OV:0
Rudolfs Balcers	AGE:28	PO:0	OV:0
Filip Chytil	AGE:25	PO:0	OV:0
Mark Stone	AGE:33	PO:0	OV:0
Mitchell Chaffee	AGE:27	PO:0	OV:0
Oskar Steen	AGE:27	PO:0	OV:0
Matt Rempe	AGE:23	PO:0	OV:0
Tomas Nosek	AGE:32	PO:0	OV:0

Défense #1

Défense #2

Gardien

Wyatt Aamodt	AGE:27	PO:0	OV:0
Dysin Mayo	AGE:28	PO:0	OV:0
Madison Bowey	AGE:30	PO:0	OV:0
Moritz Seider	AGE:24	PO:0	OV:0

Caleb Jones	AGE:28	PO:0	OV:0
Juuso Valimaki	AGE:26	PO:0	OV:0
Ryan Graves	AGE:30	PO:0	OV:0
Nate Schmidt	AGE:33	PO:0	OV:0

Clay Stevenson	AGE:26	PO:0	OV:0
Cole Brady	AGE:24	PO:0	OV:0
Philipp Grubauer	AGE:33	PO:0	OV:0
Iaroslav Askarov (R)	AGE:23	PO:0	OV:0

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Adam-Huska	Lightning	2017	104
Aiden-Fink	Lightning	2023	189	2023-189	Lien
Andrew-Gibson	Lightning	2023	70	2023-70	Lien
Beckett-Sennecke	Lightning	2024	6	2024-3	Lien
Ben-Macdonald	Lightning	2022	149	0
Brody-Lamb	Lightning	2021	97	0	Lien
Cameron-Schmidt	Lightning	2025	42	2025-94
Chase-Clark	Lightning	2021	180	0	Lien
Cole-Hutson	Lightning	2024	48	2024-43	Lien
Danil-Zhilkin	Lightning	2022	62	0
Filip-Ekberg	Lightning	2025	145	2025-221
Guillaume-Richard	Lightning	2021	120	0	Lien
Jake-Boltmann	Lightning	2020	150	NHL-2020-80	Lien
Jakub-Galvas	Lightning	2018	161
Jonathan-Gruden	Lightning	2018	98
Kristian-Epperson	Lightning	2025	75	2025-88
Lirim Amidovski	Lightning	2025	173	2025-121
Maksim-Zhukov	Lightning	2017	65
Markus-Phillips	Lightning	2017	82
Michael-Hage	Lightning	2024	21	2024-21	Lien
Michael-Misa	Lightning	2025	1	2025-2
Owen-Allard	Lightning	2024	187	2024-135	Lien
Owen-Pickering	Lightning	2022	31	0
Patrick-Thomas	Lightning	2023	157	2023-157	Lien
Riley-Sutter	Lightning	2018	72
Rutger-Mcgroarty	Lightning	2022	17	0
Ryan-O'Reilly	Lightning	2018	140
Sam-Dickinson	Lightning	2024	11	2024-11	Lien
Samuel-Savoie	Lightning	2022	99	0
Stelio-Mattheos	Lightning	2017	76
Stian-Solberg	Lightning	2024	34	2024-23	Lien
Topi-Ronni	Lightning	2022	78	0
Tristan-Lennox	Lightning	2021	69	0	Lien
Victor-Johansson	Lightning	2024	184	2024-120	Lien
Victor-Stjernborg	Lightning	2021	152	0	Lien
Vladislav-Kara	Lightning	2017	174
Xavier-Bernard	Lightning	2018	93
Zach-Gallant	Lightning	2017	77
Zachary-Lauzon	Lightning	2017	52

Choix au repêchage

Année	R1	R2	R3	R4	R5
27	TBL	TBL	TBL	TBL	TBL
28	TBL	TBL	TBL	TBL	TBL
29	TBL	TBL	TBL	TBL	TBL
30	TBL	TBL	TBL	TBL	TBL
31	TBL	TBL	TBL	TBL	TBL
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

Lightning Historique de transactions

[2026-03-30 9:47:54 PM] - Crunch didn't make playoff for year 26.
[2026-03-30 9:47:54 PM] - Lightning didn't make playoff for year 26.
[2026-01-25 7:13:21 PM] - TRADE : From Lightning to GoldenKnights : Aaron Ekblad.
[2026-01-20 7:07:59 PM] - TRADE : From Senators to Lightning : Mark Stone.
[2026-01-20 7:07:59 PM] - TRADE : From Lightning to Senators : Jonathan-Lekkerimaki (P), Trevor-Connelly (P), Lucas-Ellinas (P).
[2026-01-06 8:08:29 PM] - TRADE : From Lightning to Flyers : Justin Dowling.
[2026-01-06 8:08:29 PM] - TRADE : From Flyers to Lightning : Cole Guttman.
[2025-12-13 10:14:39 PM] - TRADE : From Hawks to Lightning : Mitchell Chaffee.
[2025-12-13 10:14:39 PM] - TRADE : From Lightning to Hawks : Trevor Lewis.
[2025-11-22 10:13:39 PM] - TRADE : From Flyers to Lightning : Aleksander Barkov.
[2025-11-22 10:13:39 PM] - TRADE : From Lightning to Flyers : Dmitri-Buchelnikov (P), Porter-Martone (P).
[2025-11-17 8:11:01 PM] - TRADE : From Lightning to Senators : Justin Holl.
[2025-10-12 10:23:59 PM] - TRADE : From Oilers to Lightning : Victor-Johansson (P).
[2025-10-11 11:47:50 AM] - Lirim Amidovski has been added to Lightning.
[2025-10-06 5:26:04 PM] - Filip-Ekberg has been added to Lightning.
[2025-10-06 5:26:04 PM] - Kristian-Epperson has been added to Lightning.
[2025-10-06 5:26:04 PM] - Cameron-Schmidt has been added to Lightning.
[2025-10-06 5:26:04 PM] - Porter-Martone has been added to Lightning.
[2025-10-06 5:26:04 PM] - Michael-Misa has been added to Lightning.
[2025-08-24 11:07:15 PM] - TRADE : From Flyers to Lightning : Adam-Huska (P).
[2025-08-24 11:07:15 PM] - TRADE : From Lightning to Flyers : Kenneth Appleby.
[2025-08-21 8:48:32 AM] - Wyatt Aamodt was added to Lightning.
[2025-08-21 8:48:26 AM] - Kenneth Appleby was added to Lightning.
[2025-08-21 8:48:20 AM] - Clay Stevenson was added to Lightning.
[2025-08-17 9:42:27 PM] - Trevor Lewis was added to Lightning.
[2025-08-17 9:42:22 PM] - Justin Dowling was added to Lightning.
[2025-08-14 5:42:12 PM] - TRADE : From Lightning to Flyers : Michael Amadio.
[2025-08-14 5:42:12 PM] - TRADE : From Flyers to Lightning : Aiden-Fink (P).
[2025-07-14 11:28:03 PM] - TRADE : From Rangers to Lightning : Connor Dewar.
[2025-07-03 2:24:01 PM] - TRADE : From Leafs to Lightning : Filip Chytil.

[2026-03-22 9:06:36 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:76.71.235.58 .
[2026-03-19 9:26:08 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-03-16 7:35:38 PM] Filip Chytil from Lightning completes suspension
[2026-03-15 7:37:12 PM] Fredrik Olofsson from Lightning is back from Bruised Right Arm Injury.
[2026-03-14 9:41:40 PM] Caleb Jones from Lightning is back from Torso Injury.
[2026-03-13 9:22:04 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-03-13 9:21:54 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:76.71.235.58 .
[2026-03-12 9:22:50 PM] Game 1060 - Filip Chytil from Lightning suspended for 2 game(s)
[2026-03-12 9:22:45 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:69.158.60.153 .
[2026-03-12 9:22:18 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:69.158.60.153 .
[2026-03-11 8:13:07 PM] Philipp Grubauer from Lightning is back from Exhaustion.
[2026-03-10 7:14:58 PM] Crunch lines for next game are empty. Current rosters/lines are not erased. But, Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-10 7:14:58 PM] Farm Game #1098 - Rudolfs Balcers from Crunch has scored a Hat Trick!
[2026-03-10 7:14:57 PM] Philipp Grubauer from Lightning injured (Exhaustion)
[2026-03-09 7:42:42 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-03-07 8:30:28 PM] Crunch lines for next game are empty. Current rosters/lines are not erased. But, Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-06 7:46:22 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-03-03 7:07:18 PM] Crunch lines for next game are empty. Current rosters/lines are not erased. But, Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-03 7:07:17 PM] Last 7 Days Farm Star : 1 - Oskar Steen of Crunch (9-6-15) / 2 - Ivan Ivan of Marlies (8-5-13) / 3 - Nicholas Robertson of Marlies (5-9-14)
[2026-03-02 7:21:49 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-03-02 7:21:37 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:204.48.76.140 .
[2026-03-01 7:35:01 PM] Crunch lines for next game are empty. Current rosters/lines are not erased. But, Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-01 7:34:50 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:69.158.60.153 .
[2026-02-28 9:29:04 PM] Tomas Nosek from Lightning is back from Strained Left Elbow Injury.
[2026-02-28 9:29:04 PM] Zemgus Girgensons from Lightning is back from Right Foot Injury.
[2026-02-28 9:29:03 PM] Game 980 - Zemgus Girgensons from Lightning is injured (Right Foot) and is out for 2 days.
[2026-02-27 10:52:46 PM] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2026-02-27 10:52:46 PM] Farm Game #1020 - Oskar Steen from Crunch has scored a Hat Trick!
[2026-02-26 9:02:45 PM] Crunch lines for next game are empty. Current rosters/lines are not erased. But, Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-02-26 8:58:15 PM] Successfully loaded Lightning lines done with Web Base Client and SQLite Database from IP:204.48.78.248 .

Pas de blessure ou de suspension.

Lightning Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Lightning Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Lightning Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Lightning Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Lightning Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Lightning
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Remy Beaumier \| Morale : 85 \| Moyenne d’équipe : N/A